R-Multiple Calculator

R-multiple measures trade outcome in units of risk. A trade where you risked $100 and made $300 is "+3R". The metric prop firm reviewers care about most because it tells them whether you're a skilled trader or a lucky one.

R = (exit price - entry price) ÷ initial risk
Strategy expectancy = average R per trade
Pros aim for +0.3R to +0.5R expectancy across a series
Anything >+1R per trade indicates overfit or sample-size issues

Risk per trade ($) Trade results (one per line, P&L in $; negative = loss)

Trades analyzed—

Average R per trade—

Win rate—

Strategy expectancy (R)—

Trades hitting +2R or better—

Total P&L (in R)—

Why R-Multiple Beats Win Rate

Win rate alone is misleading. A 70% win-rate strategy with avg +0.3R wins doesn't beat a 40% win-rate strategy with avg +1.5R wins. Prop firms look at expectancy because it captures both.

What's a Good R-Multiple Distribution?

Scalpers: avg 0.3-0.7R, win rate 55-65%
Day traders: avg 0.8-1.2R, win rate 45-55%
Swing traders: avg 1.5-3R, win rate 30-45%

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